BioVeL internal Workflows

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Tag: model
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Project Biovel

Workflow Biome-BGC ESI version 1.4.1 (3)

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Biome-BGC is a process-based biogeochemical model that can be used to simulate carbon, nitrogen and water fluxes of different terrestrial ecosystems. The model can help us to quantify a broad range of ecosystem service indicators. These newly developed measures include: annual wood increment, yearly production of grasslands or croplands, total average carbon stock, annual evapotranspiration, damping of ecosystem daily water outflow, living and dead biomass protecting the soil against erosion,...

Created: 2013-08-12 | Last updated: 2014-10-04

Credits: User Ferenc HORVATH User Dora Krasser User Peter Ittzes Network-member BioVeL

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Project Biovel

Workflow Biome-BGC CARBON 1.2 (4)

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Biome-BGC is a process-based biogeochemical model that can be used to simulate carbon, nitrogen and water fluxes of different terrestrial ecosystems. A new version of the model, called Biome-BGC MuSo was developed to perform more realistic simulations in terms of soil hydrology, and improved ecosystem management options essentially (Hidy et al. 2012; Hidy & Barcza 2014). The Biome-BGC CARBON service executes a single simulation run at a given geographic location under that distinctive environ...

Created: 2013-06-04 | Last updated: 2015-06-12

Credits: User Ferenc HORVATH User Dora Krasser User Peter Ittzes User Zoltan BARCZA Network-member BioVeL

Attributions:

Workflow Simulate stochastic growth from a sequence... (1)

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The Simulate stochastic growth from a sequence of matrices Workflow provides an environment to simulate stochastic growth by projection using whole matrix selection techniques in an independently and identically distributed (iid) environment from a set of 2 or more projection matrices. This workflow is based on the popbio package (script: stoch.projection - Simulate stochastic growth from a sequence of matrices, Stubben, Milligan and Nantel, 2013) based on the The MATLAB code in Box 7.3 (Mo...

Created: 2014-07-30 | Last updated: 2014-08-14

Credits: User Maria Paula Balcazar-Vargas User Mikolaj Krzyzanowski User Jon Giddy User Francisco Quevedo User Gerard Oostermeijer

Workflow Damping ratio (2)

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The Damping ratio Workflow provides an environment to calculate the damping ratio of several matrices and plot them. The damping ratio can be considered as a measure of the intrinsic resilience of the population, describing how quickly transient dynamics decay following disturbance or perturbation regardless of population structure, the larger the p, the quicker the population converges. ============================================================= This workflow requires an instance of Rse...

Created: 2014-06-25 | Last updated: 2014-07-25

Credits: User Maria Paula Balcazar-Vargas User Mikolaj Krzyzanowski User Jon Giddy User Gerard Oostermeijer

Workflow Parametric Bootstrap or Resample a project... (3)

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The Parametric Bootstrap or Resample a projection matrix Workflow provides an environment to resample a projection matrix using a multinomial distribution for transitions and a log normal distribution for fertilities (Stubben, Milligan, and Nantel. 2011). The resample is based on number of plants surveyed. The projection matrix A is first split into separate transition and fertility matrices. Dead fates are added to the transition matrix and the columns are then sampled from a Multinomial dis...

Created: 2014-06-18 | Last updated: 2014-07-25

Credits: User Maria Paula Balcazar-Vargas User Jon Giddy User Gerard Oostermeijer

Attributions: Workflow Matrix Population Model analysis v12

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Project Biovel

Workflow Biome-BGC MCE 1.4.1 (4)

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Biome-BGC is a process-based biogeochemical model that can be used to simulate carbon, nitrogen and water fluxes of different terrestrial ecosystems. Two models were implemented: Biome-BGC 4.1.1 MPI (Trusilova et al. 2009) and Biome-BGC MuSo 3.0 (Hidy & Barcza 2014). Its has about 40 and 60 various parameters. The only way to estimate or set these parameters is "calibration" (data-model-harmonization or model-data-fusion), which demands a hugh amount of computational capacity. Monte Carlo Exp...

Created: 2013-06-04 | Last updated: 2014-10-04

Credits: User Ferenc HORVATH User Zoltan BARCZA User Dora Krasser User Peter Ittzes Network-member BioVeL

Workflow Eigen analysis (3)

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The Eigen analysis results are a set of demographic statistics: 1) Lambda or dominant eigenvalue: The population will be stable, grow or decrease at a rate given by lambda: eg: ? = 1 (population is stable), ? > 1 (population is growing) and finally ? < 1 (populatiopn is decreasing) . 2) The stable stage distribution: It is the proportion of the number of individuals per stage and it is given by (w). Elasticity and Sensitivity: Sensitivity and elasticity analyses are prospective analyses....

Created: 2012-11-02 | Last updated: 2014-07-25

Credits: User Maria Paula Balcazar-Vargas User Jon Giddy User Gerard Oostermeijer

Attributions: Workflow Matrix Population Model construction and analysis v20 Workflow Matrix Population Model analysis v12 Blob Stage Matrix of Gentiana pneumonanthe 1987-88

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